| Writing logs to ./outputs/2024-03-01-10-24-35-896622/train_log.txt. | |
| Wrote original training args to ./outputs/2024-03-01-10-24-35-896622/training_args.json. | |
| ***** Running training ***** | |
| Num examples = 50000 | |
| Num epochs = 3 | |
| Num clean epochs = 3 | |
| Instantaneous batch size per device = 8 | |
| Total train batch size (w. parallel, distributed & accumulation) = 8 | |
| Gradient accumulation steps = 1 | |
| Total optimization steps = 18750 | |
| ========================================================== | |
| Epoch 1 | |
| Running clean epoch 1/3 | |
| Train accuracy: 83.54% | |
| Eval accuracy: 88.30% | |
| Best score found. Saved model to ./outputs/2024-03-01-10-24-35-896622/best_model/ | |
| ========================================================== | |
| Epoch 2 | |
| Running clean epoch 2/3 | |
| Train accuracy: 91.31% | |
| Eval accuracy: 89.43% | |
| Best score found. Saved model to ./outputs/2024-03-01-10-24-35-896622/best_model/ | |
| ========================================================== | |
| Epoch 3 | |
| Running clean epoch 3/3 | |
| Train accuracy: 95.09% | |
| Eval accuracy: 90.04% | |
| Best score found. Saved model to ./outputs/2024-03-01-10-24-35-896622/best_model/ | |
| Wrote README to ./outputs/2024-03-01-10-24-35-896622/README.md. | |